Trade Desk (TTD) Non-Current Assets (2015 - 2026)
Trade Desk's Non-Current Assets came in at $948.62 million for Q2 2026, up 4.9% from $904.09 million a year earlier and up 8.7% from the prior quarter.
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Analysis
Trade Desk (TTD) Non-Current Assets (2015 - 2026) Analysis & Trends
At the end of FY2025, Trade Desk's Non-Current Assets was $892.22 million, up 15.1% from FY2024.
- Non-Current Assets has increased in each of the last ten years, with a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $775.49 million in FY2024 (+34.9%), $574.73 million in FY2023 (+7.4%), $535.06 million in FY2022 (+10.2%) and $485.69 million in FY2021 (+9.6%).
- The Q2 2026 figure represents the highest quarterly Non-Current Assets in data going back to Q4 2015.
- Year-over-year, Non-Current Assets has increased for 11 consecutive quarters, with growth averaging 25.5% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q1 2025 (growth of 49.7%), and the weakest in Q3 2023 (a decline of 0.4%).
- Business Quant data shows TTD's Non-Current Assets at $872.72 million (Q1 2026), $892.22 million (Q4 2025) and $820.12 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,126.42 Bn | 3,883.94 Bn | 73.85 Bn | 578.46 Bn |
| 2 | Meta Platforms | 1,763.57 Bn | 1,466.09 Bn | 49.47 Bn | 324.48 Bn |
| 3 | Netflix | 287.17 Bn | 247.37 Bn | 6.52 Bn | 44.60 Bn |
| 4 | Alibaba Group Holding | 252.08 Bn | 65.86 Bn | 15.11 Bn | 182.12 Bn |
| 5 | Shopify | 224.54 Bn | 201.72 Bn | 1.71 Bn | 6.65 Bn |
| 6 | Uber Technologies | 140.28 Bn | 112.08 Bn | 6.38 Bn | 53.27 Bn |
| 7 | Booking Holdings | 125.81 Bn | 58.86 Bn | - | 6.63 Bn |
| 8 | PDD Holdings | 114.10 Bn | -129.68 Bn | 9.45 Bn | 806.35 Mn |
| 9 | Spotify Technology | 108.24 Bn | 65.74 Bn | 1.86 Bn | - |
| 10 | Trade Desk | 5.92 Bn | 282.65 Mn | 530.72 Mn | 948.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 948.62 Mn |
| Mar 31, 2026 | 872.72 Mn |
| Dec 31, 2025 | 892.22 Mn |
| Sep 30, 2025 | 820.12 Mn |
| Jun 30, 2025 | 904.09 Mn |
| Mar 31, 2025 | 849.11 Mn |
| Dec 31, 2024 | 775.49 Mn |
| Sep 30, 2024 | 666.95 Mn |
| Jun 30, 2024 | 637.08 Mn |
| Mar 31, 2024 | 567.38 Mn |
| Dec 31, 2023 | 574.73 Mn |
| Sep 30, 2023 | 506.63 Mn |
| Jun 30, 2023 | 515.21 Mn |
| Mar 31, 2023 | 523.77 Mn |
| Dec 31, 2022 | 535.06 Mn |
| Sep 30, 2022 | 508.59 Mn |
| Jun 30, 2022 | 476.57 Mn |
| Mar 31, 2022 | 477.38 Mn |
| Dec 31, 2021 | 485.69 Mn |
| Sep 30, 2021 | 472.84 Mn |
API Access
Trade Desk Non-Current Assets API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=non-current-assets&ticker=TTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "TTD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-current-assets&ticker=TTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();